Updated on Apr, 2024
Language - English
It is a great course to get started into opencv world. And the examples with IA, though basic, are real world matters. Gracias Abhi.
OpenCV Complete Dummies Guide to Computer Vision With Python
OpenCV Complete Guide to Computer Vision with Python
Lectures -71
Resources -1
Duration -9 hours
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Course Description
OpenCV Complete Dummies Guide to Computer Vision With Python course will help you understand concepts of computer vision with OpenCV and Python. You will learn how to perform basic image processing tasks, such as reading and writing images, converting colors, and filtering images.
OpenCV Complete Dummies Guide to Computer Vision With Python Overview
OpenCV is a popular open-source library for computer vision. Computer vision is a field of artificial intelligence that enables computers to understand and interpret the visual world. It is used in a wide range of applications, including self-driving cars, facial recognition, and medical imaging.
By the end of this course, you will be able to build applications with OpenCV and Python. Whether you are a beginner to computer vision or an experienced programmer who wants to learn OpenCV, this course is for you.
You will also learn how to extract features from images and use them to detect objects. This course covers a wide range of concepts including:
Image processing
Feature extraction
Object detection
Face detection
Face recognition
Object recognition
Goals
What will you learn in this course:
Perform basic image processing tasks with OpenCV.
Extract features from images with OpenCV.
Use OpenCV to detect objects in images.
Build real-world computer vision applications with OpenCV.
Prerequisites
What are the prerequisites for this course?
No prior experience with computer vision or OpenCV is required. However, basic programming knowledge in Python is required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Intro and Table of Contents
1 Lectures
-
Course Intro and Table of Contents
09:08
09:08
Introduction to OpenCV
1 Lectures
Environment Setup
5 Lectures
Image Processing Concepts
1 Lectures
OpenCV: Read Load and Save Image - Sample Program
2 Lectures
OpenCV Pixel and Area Manipulation
2 Lectures
OpenCV - Drawing
3 Lectures
OpenCV Image Transformation
7 Lectures
OpenCV Image Arithmetic Operations
2 Lectures
OpenCV Image Bitwise / Logical Operations
2 Lectures
OpenCV Image Masking
2 Lectures
OpenCV Image Color Channels Merging and Splitting
2 Lectures
OpenCV - Other Color Spaces - GRAY, HSV, LAB
1 Lectures
OpenCV Gray scale Histograms
2 Lectures
OpenCV - Color Histograms
1 Lectures
OpenCV - Histogram Equalization
1 Lectures
OpenCV - Image Blurring
2 Lectures
OpenCV - Image Threshold
3 Lectures
OpenCV - Image Gradient Detection
2 Lectures
OpenCV- Canny Edge Detection
1 Lectures
OpenCV - Image Contours
2 Lectures
Face Detection using OpenCV
3 Lectures
Face Recognition using Machine Learning
3 Lectures
Digital Face Makeup
2 Lectures
Face Distance Value of Face Recognition
1 Lectures
Real Time Face Recognition
1 Lectures
OpenCV - Real time Facial Expression Recognition
2 Lectures
A Basic Motion Detection System using Open CV
1 Lectures
Optical Character Recognition - OCR using PyTesseract Library
3 Lectures
System Preparation - Object Detection using Pre-Trained Models
1 Lectures
SSD MobileNet
3 Lectures
Mask R-CNN - Object Detection using Pre-Trained Models
3 Lectures
YOLO - Object Detection using Pre-Trained Models
1 Lectures
SOURCE CODE ATTACHED
1 Lectures
Instructor Details
Abhilash Nelson
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